This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filter’s performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm.
Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft
01.12.2008
795136 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Review of Relative Navigation for Noncooperative Spacecraft in Close Range
British Library Conference Proceedings | 2021
|Stereovision-based relative states and inertia parameter estimation of noncooperative spacecraft
SAGE Publications | 2019
|Relative Navigation for Autonomous Formation Flying of Spacecraft
British Library Conference Proceedings | 1998
|